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Mapping the distribution of Nipah virus infections: a geospatial modelling analysis

Nipah virus is a zoonotic paramyxovirus responsible for disease outbreaks with high fatality rates in south and southeast Asia. However, knowledge of the potential geographical extent and risk patterns of the virus is poor. We aimed to establish an integrated spatiotemporal and phylogenetic database of Nipah virus infections in humans and animals across south and southeast Asia. 

Aged care service use by Aboriginal and Torres Strait Islander people after aged care eligibility assessments, 2017–2019: a population-based retrospective cohort study

To characterise the socio-demographic characteristics, aged and health care needs, and aged care services used by older Aboriginal and Torres Strait Islander people assessed for aged care service eligibility.

Self-Reported Traumatic Brain Injury and Its Biopsychosocial Risk Factors in Siblings of Individuals with Neurodevelopmental Conditions

Siblings of individuals with neurodevelopmental conditions are situated within a complex system of risk and resilience factors for poor outcomes, many of which overlap with the risk of traumatic brain injury and correlate with poorer recovery trajectories.

Bringing optimised COVID-19 vaccine schedules to immunocompromised populations (BOOST-IC): study protocol for an adaptive randomised controlled clinical trial

Immunocompromised hosts experience more breakthrough infections and worse clinical outcomes following infection with COVID-19 than immunocompetent people. Prophylactic monoclonal antibody therapies can be challenging to access, and escape variants emerge rapidly. Immunity conferred through vaccination remains a central prevention strategy for COVID-19.

FastHPOCR: pragmatic, fast, and accurate concept recognition using the human phenotype ontology

Human Phenotype Ontology based phenotype concept recognition (CR) underpins a faster and more effective mechanism to create patient phenotype profiles or to document novel phenotype-centred knowledge statements. While the increasing adoption of large language models (LLMs) for natural language understanding has led to several LLM-based solutions, we argue that their intrinsic resource-intensive nature is not suitable for realistic management of the phenotype CR lifecycle.

Heads up on concussion: Aboriginal and Torres Strait Islander peoples' knowledge and understanding of mild traumatic brain injury

Concussion awareness and knowledge among Aboriginal and Torres Strait Islander peoples residing in Perth, Western Australia and factors preventing presentation at a health service for assessment after such an injury.  

Autistic and autism community perspectives on infant and family support in the first two years of life: Findings from a community consultation survey

Most support programmes for Autistic children are available only after they are diagnosed. Research suggests that parenting supports may be helpful for parents and their infants, when provided in the first 2 years of life - before a formal diagnosis is given, but when information suggests an infant is more likely to be Autistic. However, we do not know how acceptable these types of supports might be to the Autistic and autism communities.

Population-level 5-year event-free survival for children with cancer in Australia

Event-free survival considers other adverse events in addition to mortality. It therefore provides a more complete understanding of the effectiveness and consequences of treatment than standard survival measures, but is rarely reported at the population level for childhood cancer.

Harmonizing the CBCL and SDQ ADHD scores by using linear equating, kernel equating, item response theory and machine learning methods

A problem that applied researchers and practitioners often face is the fact that different institutions within research consortia use different scales to evaluate the same construct which makes comparison of the results and pooling challenging.

Intervention effect of targeted workplace closures may be approximated by single-layered networks in an individual-based model of COVID-19 control

Individual-based models of infectious disease dynamics commonly use network structures to represent human interactions. Network structures can vary in complexity, from single-layered with homogeneous mixing to multi-layered with clustering and layer-specific contact weights. Here we assessed policy-relevant consequences of network choice by simulating different network structures within an established individual-based model of SARS-CoV-2 dynamics.